HiddenLayer · 8 hours ago
Platform Engineer
HiddenLayer protects the world’s most valuable technologies from adversarial AI attacks. The Platform Engineer will take ownership of deploying and managing the multi-prem platform architecture, ensuring operational excellence across diverse customer environments, and collaborating with engineering teams to maintain secure deployments.
Cyber SecurityMachine LearningSecurity
Responsibilities
Lead deployment and lifecycle management of our multi-prem platform across commercial cloud, bare-metal, air-gapped, and IL4+ environments
Build and maintain infrastructure-as-code (Terraform, Helm, ArgoCD, etc.) to automate consistent deployments across customer sites
Ensure our customer-hosted builds (“shrink-wrapped” software) remain closely aligned with our continuously deployed SaaS platform
Maintain and optimize Kubernetes clusters and container build pipelines (EKS, K0s, AKS, or on-prem distributions)
Implement secure and reproducible container image build pipelines, aligned with our internal release processes
Collaborate with Engineering teams to harden deployments for regulated, classified, and air-gapped customer systems
Document and version deployment patterns, templates, and procedures to support both automation and accreditation workflows
Support incident response, troubleshooting, and upgrade cycles across multiple platform footprints
Contribute to the overall architecture and evolution of the multi-prem reference design, ensuring scalability, reliability, and security parity with SaaS
Qualification
Required
U.S. Citizen (required) and eligible for U.S. Government clearance (Secret or higher preferred)
Proven success deploying and operating complex systems across multi-cloud and on-prem environments
Deep hands-on expertise with Kubernetes orchestration, container pipelines, and infrastructure automation (Terraform, Helm, ArgoCD)
Strong foundation in networking concepts: DNS, routing, VPC design, VPNs, firewalls, and service meshes
Proficient with secure CI/CD pipelines (GitHub Actions)
Experience maintaining Linux systems, observability stacks (Prometheus, Grafana, Loki, OpenSearch), and automation tooling
Familiarity with compliance frameworks such as FedRAMP, DoD SRG, or NIST 800-53
Preferred
Active DoD Secret or Top Secret clearance
5+ years of experience in platform, DevOps, or infrastructure engineering
Experience deploying workloads into AWS GovCloud, Azure Government, or other regulated cloud environments
Experience deploying and maintaining software in classified, air-gapped, or disconnected environments
Knowledge of supply chain security (SLSA, SBOM, image signing, provenance)
Background in AI/ML or data-centric security platforms is a plus
Familiarity with Temporal, Kafka, or distributed systems architecture
Experience maintaining multi-tenant platform parity between SaaS and customer-hosted versions
Benefits
Fully Remote: We are a completely remote global team. Though we’re distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses.
Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person’s needs. We also offer vision, dental, and 401k offerings.
Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.
Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events.
Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.
Company
HiddenLayer
HiddenLayer provides a software-based platform that helps enterprises monitor the inputs and outputs of machine-learning algorithms.
Funding
Current Stage
Growth StageTotal Funding
$56.25MKey Investors
Ten Eleven Ventures
2023-09-19Series A· $50.25M
2022-07-19Seed· $6M
Recent News
2025-11-15
Crowdfund Insider
2025-10-28
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